Query cost estimation in graph databases via emphasizing query dependencies by using a neural reasoning network. - Zhenzhen He; Jiong Yu; Tiquan Gu; Zhe Li 030; Xusheng Du; Ping Li (Concurr. Comput. Pract. Exp., 2023)

Integrating external knowledge into aspect-based sentiment analysis using graph neural network. - Tiquan Gu; Hui Zhao; Zhenzhen He; Min Li; Di Ying (Knowl. Based Syst., 2023)

Effective inter-aspect words modeling for aspect-based sentiment analysis. - Tiquan Gu; Hui Zhao; Min Li (Appl. Intell., 2023)

Experiencer-Driven and Knowledge-Aware Graph Model for emotion-cause pair extraction. - Min Li; Hui Zhao; Tiquan Gu; Di Ying (Knowl. Based Syst., 2023)

Using query semantic and feature transfer fusion to enhance cardinality estimating of property graph queries. - Zhenzhen He; Tiquan Gu; Jiong Yu (Displays, 2024)

Aspect-based sentiment analysis with multi-granularity information mining and sentiment hint. - Tiquan Gu; Zhenzhen He; Hui Zhao; Min Li; Di Ying (Expert Syst. Appl., 2024)

A novel query execution time prediction approach based on operator iterate-aware of the execution plan on the graph database. - Zhenzhen He; Jiong Yu; Tiquan Gu (J. King Saud Univ. Comput. Inf. Sci., 2024)

Query execution time estimation in graph databases based on graph neural networks. - Zhenzhen He; Jiong Yu; Tiquan Gu; Dexian Yang (J. King Saud Univ. Comput. Inf. Sci., 2024)

Class imbalance mitigation: A select-then-extract learning framework for emotion-cause pair extraction. - Min Li; Hui Zhao; Tiquan Gu; Di Ying; Bin Liao 003 (Expert Syst. Appl., 2024)

Information-assisted and sentiment relation-driven for aspect-based sentiment analysis. - Tiquan Gu; Zhenzhen He; Zhe Li; Yaling Wan (Expert Syst. Appl., 2025)